The main aim of this course is to develop the knowledge and skills required to implement an “Exploratory Data Analysis (EDA)”. EDA is not a formal process with specific rules, but is rather “a state of mind” (wickham_r_nodate?, Ch. 11). The knowledge required to carry out an EDA is simply understanding your data and how to explore its structure to get an understanding for its distribution and patterns. The skills required to carry out an EDA are specific to the language used to conduct your EDA, which in our case is R.
Woche
Datum
Topic
Materials
1
2023-10-18
Intro to R
@wickham_r_nodate, Ch. 1 & 3
2
2023-10-25
Data Viz 1
3
2023-11-01
Wrangling 1
4
2023-11-08
Dynamic Reports with Quarto
5
2023-11-15
Descriptive statistics
6
2023-11-22
Workflow 1
7
2023-11-29
Bericht 1
8
2023-12-06
Dateneinlesung
9
2023-12-13
Wrangling 2
10
2023-12-20
Data Viz 2
Vorlesungsfrei
2023-12-27
Vorlesungsfrei
Vorlesungsfrei
Vorlesungsfrei
2024-01-03
Vorlesungsfrei
Vorlesungsfrei
11
2024-01-10
Bericht 2
12
2024-01-17
13
2024-01-24
14
2024-01-31
Bericht 3
15
2024-02-07
16
2024-02-14
Source Code
---title: "Syllabus"execute: echo: false---The main aim of this course is to develop the knowledge and skills required to implement an "Exploratory Data Analysis (EDA)". EDA is not a formal process with specific rules, but is rather "a state of mind" [@wickham_r_nodate, Ch. 11]. The knowledge required to carry out an EDA is simply understanding your data and how to explore its structure to get an understanding for its distribution and patterns. The skills required to carry out an EDA are specific to the language used to conduct your EDA, which in our case is R.```{r}pacman::p_load(dplyr, lubridate, gt, timesaveR)``````{r}#| eval: false# Create syllabus structure ##### define negative %in%; don't end up using this I think'%ni%'<-Negate("%in%")# create tibble containing all weekly dates from first lecture until lastdates <-tibble(Datum =as.character(seq(ymd("2023-10-18"), ymd("2024-2-14"), by ="weeks")))# create vector with dates of holidaysholidays <-c("2024-01-03","2023-12-27" )# remove holiday dates and add Woche, which lists the week numbersyllabus <- dates |>mutate(class =ifelse(Datum %in% holidays, "Vorlesungsfrei", "class")) |>mutate(Woche =1:length(Datum), .by = class, .before = Datum) |>mutate(Woche =ifelse(Datum %in% holidays, "Vorlesungsfrei", Woche)) |>select(-class) |>mutate(Topic =ifelse(Datum %in% holidays, "Vorlesungsfrei", ""),Materials =ifelse(Datum %in% holidays, "Vorlesungsfrei", ""))# now print as tribble, copy and paste, and add "Topicto_tribble(syllabus, show = T)``````{r}tribble(~ Woche, ~ Datum, ~ Topic, ~ Materials,"1", "2023-10-18", "Intro to R", "@wickham_r_nodate, Ch. 1 & 3","2", "2023-10-25", "Data Viz 1", "","3", "2023-11-01", "Wrangling 1", "","4", "2023-11-08", "Dynamic Reports with Quarto", "","5", "2023-11-15", "Descriptive statistics", "","6", "2023-11-22", "Workflow 1", "","7", "2023-11-29", "Bericht 1", "","8", "2023-12-06", "Dateneinlesung", "","9", "2023-12-13", "Wrangling 2", "","10", "2023-12-20", "Data Viz 2", "","Vorlesungsfrei", "2023-12-27", "Vorlesungsfrei", "Vorlesungsfrei","Vorlesungsfrei", "2024-01-03", "Vorlesungsfrei", "Vorlesungsfrei","11", "2024-01-10", "Bericht 2", "","12", "2024-01-17", "", "","13", "2024-01-24", "", "","14", "2024-01-31", "Bericht 3", "","15", "2024-02-07", "", "","16", "2024-02-14", "", "") |>gt()```